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Mapping hierarchical and heterogeneous micromechanics of a transformative high entropy alloy by nanoindentation and machine learning augmented clustering
Article describes how conventional macromechanical tests provide limited insights into complex hierarchical deformation behavior of a transformative high entropy alloy (HEA). In this work, a high throughput microstructure-micromechanical correlative study is presented by combining high-resolution nanoindentation, site-specific microscopy, and Gaussian mixture model (GMM) clustering.
Date:
April 26, 2023
Creator:
Dhal, Abhijeet; Haridas, Ravi Sankar; Agrawal, Priyanka; Gupta, Sanya & Mishra, R. S.
System:
The UNT Digital Library